Make a bar chart!

100%

Make a bar chart!

✓ Published0🌍 Public

Last edited Jul 23, 2020

Created on Jul 23, 2020

A bar chart displays population figures for ten countries from a static CSV dataset, ordered by size with China and India dominating the visual comparison. The SVG chart uses D3 v5’s `select` to bind the data, though the code currently only sets the chart dimensions and logs a message to the console, meaning the bars themselves are not yet rendered in this partial example.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Make a bar chart!

A horizontal bar chart displays the population of ten countries, sourced from data.csv, with China and India leading. The SVG chart is built using D3 v5, where `scaleLinear` maps population values to bar widths and `scaleBand` positions each country's bar vertically. The code reads the CSV, multiplies populations by 1000, and appends `rect` elements to the SVG, with bar height derived from the band width.

Mmichielpunt86

95% match

Loading thumbnail…

Making a Bar chart

This is a bar chart that displays the populations of ten countries, including China, India, and the United States, with each bar’s height corresponding to the population value from a CSV file. The chart is rendered as an SVG element with a width of 960 pixels and a height of 500 pixels. The visualization is built using D3 v5, specifically utilizing the `d3.select` and `d3.csv` APIs to read and parse the data, while the rendering itself is handled directly through SVG attributes.

Jjhpp114

90% match

Loading thumbnail…

Making a bar chart!

A horizontal bar chart displays the population of ten countries, with bar lengths corresponding to population values from a CSV file. The chart uses D3 v5's `d3.scaleLinear` to map population data to pixel widths, `d3.csv` to load the data, and `d3.select` to append SVG rectangles. Bars are fixed at 300 pixels tall, with lengths scaled proportionally to the maximum population in the dataset.

Fffrabal

90% match

Loading thumbnail…

Making a bar chart

A bar chart displays population figures for ten countries, with horizontal bars sorted by country name. The visualization loads data from a CSV file and renders it as SVG rectangles using D3 v5. It uses `d3.scaleLinear` for the population axis, `d3.scaleBand` for country categories, and `d3.axisLeft` and `d3.axisBottom` for labeled axes. Bar heights and widths derive from the dataset, with a steelblue fill applied via CSS.

Vvladvaculin

89% match

Loading thumbnail…

Making a bar chart

This bar chart displays the population of ten countries, ordered by descending population size, using a clean SVG rendering. The visualization loads data from a CSV file and maps the values using `d3.scaleLinear` for the y-axis and `d3.scaleBand` for the categorical x-axis. Axis generation relies on `d3.axisLeft` and `d3.axisBottom`, while a D3 selection with `.select` appends rectangle elements to form the bars. The chart is built with d3.v5, driven by a promise-based `d3.csv` call, and styled with minimal CSS.

JJun Alvarado

89% match

Loading thumbnail…

Making a bar chart

This example shows a vertical bar chart of population data for ten countries, using a CSV file as its primary data source. The chart maps each country’s name to a categorical x-axis and its population value to a numeric y-axis, with bar heights encoded to reflect the top-largest populations, led by China and India. Built with D3 v5, the visualization relies on the `select` API to target the SVG element and reads explicit `width` and `height` attributes from the `<svg>` tag to size the canvas. The appearance is defined by an external stylesheet, and the rendering is entirely SVG-based, with no interaction or animation beyond the static bar geometry.

VVyom Raj

89% match

Loading thumbnail…

Making a Bar Chart

This example visualizes population figures for the ten most populous countries using a basic bar chart layout in SVG. It loads data from a CSV file containing country names and population numbers, converting the population strings to numeric values. The visualization uses D3 v5 with `d3.select` to manage the SVG element and `d3.csv` for data loading. A `scaleLinear` is defined but not yet configured with domains or ranges, while the data join appends rectangles of fixed width and height to the chart.

CChiuyc

89% match

Loading thumbnail…

Making a bar chart!

This horizontal bar chart displays population figures for ten countries, using the D3 v7 library to render an SVG graphic. The code imports specific functions including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the D3 module. It loads data from a local CSV file, multiplies the population values by 1000, and plots ranked bars with steelblue rectangles. Axis labels and tick marks are generated through D3’s SVG-based axis APIs, with margins surrounding the plot area.

Mmikeferri

89% match